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Attentional focus strategies, especially external focus, are associated with improvements in mechanisms of postural control. This can be important in reducing sports injuries in practices such as running, which has seen an increase in adherence. However, the impacts of these strategies on postural control in runners are unclear. This study aimed to investigate the effects of internal and external focus strategies on postural control performance with different bases of support tasks in runners. A total of 19 young adults (18–38 years old) were divided into a running group (n = 9) and a control group (n = 10). Posturography tests were performed on stable and unstable surfaces, under control, and internal and external focus conditions. The distance, mean velocity, and total velocity of the center of pressure were analyzed (p ≤ .05). There was a reduction in oscillation under external focus compared to internal and control conditions, as well as under internal focus compared to the control condition. A Group × Surface × Focus interaction for the variables distance and mean velocity in the mediolateral direction was found only for the control group. However, no significant effects were found between groups for postural control performance. Attentional focus strategies were able to reduce postural sway, with external focus condition being the most effective. Practitioners can benefit from these strategies to increase postural control performance to help reduce the number of injuries and improve sports performance. It is speculated that the effects of attentional control strategies on postural control may differ depending on the specific adaptations of each sport.

Aim: To assess the adaptive response of older adults with a history of falls in a single Perturbation-Based Balance Training (PBT) session by examining the margin of stability (MoS) and the number of falls. Methods: Thirty-two older adults with a history of falls underwent a treadmill walking session lasting 20–25 min. During the PBT protocol, participants experienced 24 unexpected perturbations delivered in two ways: acceleration or deceleration of the treadmill belt, with 12 perturbations in each direction. The MoS in the anteroposterior direction was assessed for the first and last perturbations of the session, during the perturbation step (N) and the recovery step (REC), along with the number of falls during the training session. Results: There was no statistically significant difference in MoS between the first and last perturbations (acceleration and deceleration) for steps N and REC. Regarding the number of falls, a significant reduction was found when comparing the first half with the second half of the training session (p = .033). There were 13 falls in the first half and only three in the second half of the PBT session. Conclusion: Older adults with a history of falls exhibited an adaptive response with a reduction in the number of falls during a single session of PBT despite not showing changes in the MoS.

Movement disorders, such as stroke and amyotrophic lateral sclerosis, result in loss of upper limb function and, hence, severe impairments of bimanual coordination. Although motor imagery is increasingly used to enhance neurorehabilitation, cognitive and neurophysiological parameters that inform effective strategies remain elusive. The aim of the present study is to elucidate the neural dynamics that underlie learning during real and imagined movement using both unimanual and bimanual coordination patterns. The post movement beta rebound (PMBR) has been implicated as a biomarker of motor control and therefore was the focus of this study. Healthy adults (n = 21) learned a visuomotor tracking task in a single session using either one or both hands while brainwaves were captured using electroencephalography. Postmovement beta rebound was evident in the sensorimotor cortex for both unimanual and bimanual conditions. Task-related power of the beta band demonstrated that actual unimanual movement requires greater contralateral activity compared with both actual bimanual movement and imagined movement of either condition. Notably, the PMBR was evident even in imagined movement, although to a lesser extent than real movement. Neurophysiological results support a functional role for beta band in movement. Results of these data may inform neurorehabilitation strategies for patients recovering from movement disorders of the upper limbs.

This study aimed to evaluate the effect of age and intellectual disability (ID) on postural balance parameters, dual-task cost (DTC), and choice reaction time (CRT). Fifty-eight individuals with ID and 55 peers without ID performed a postural stance balance task under two conditions: a single task with eyes open and dual task involving an additional cognitive task (light sequence). Four postural balance parameters (total displacement, total sway area, mediolateral, and anteroposterior dispersion), cost of the dual task ([DTC%] = [(single-task performance − dual-task performance)/single-task performance] × 100), and CRT were recorded, calculated, and analyzed. All postural control parameters reflected poorerperformance during the dual-task condition, nevertheless, DTC was significantly higher only in individuals with ID and only for the total sway area, F(1, 111) = 5.039, p = .027, and mediolateral dispersion, F(1, 111) = 6.576, p = .012. CRT was longer in individuals with ID compared with the individuals without ID, F(1, 111) = 94.979, p ≤ .001, while age did not have a significant effect on the DTC nor on the CRT, F(1, 111) = 0.074, p = .786. In conclusion, an additional cognitive task during the postural balance task had a detrimental effect on various postural balance parameters, leading to increased DTC in terms of total sway area, mediolateral dispersion, and prolonged CRT in individuals with ID.

Over the past two decades, motor imagery (MI) has been used as a supplementary treatment approach to regain physical function in patients with stroke. However, the baseline treatment and the quality of study methodology for new treatment approaches have improved. This systematic review examined the evidence published in the past few decades on the effectiveness of MI on upper- and lower-extremity function and functional performance in patients with stroke. A total of 29 randomized controlled and crossover trials that compared MI with other interventions were analyzed. In addition, the outcomes were grouped into upper-, lower-extremity function, and functional performance for data analysis. More than half of the upper-extremity function studies reported improved performance in Fugl-Meyer assessment, Wolf motor function test, and box and block test in both acute and chronic stages. Lower-extremity function and functional performance were primarily investigated using Fugl-Meyer assessment, gait speed and parameters, activities of daily living, and balance ability. When considering only high-quality studies, six of 15 on upper extremity reported significant effects, whereas five of 15 reported nonsignificant effects. In addition, six of 14 studies on gait and balance reported significant effects. This systematic review suggests that both MI training and conventional rehabilitation programs effectively enhance upper limb functional abilities, including improvements in gait speed and balance, in individuals with acute and chronic stroke. Although the studies published during the past few decades showed heterogeneity in onset after stroke, research protocol, training intensity, and research methodology quality, none of them reported the long-term effects.

Objectives: The static and dynamic correlations of postural stability to its three potential contributors, namely, proprioception, tactile sensation, and strength remain unclear among people with chronic ankle instability (CAI). This study aimed to compare static and dynamic postural stability, along with proprioception, tactile sensation, and strength between people with and without CAI and explore their correlations. Methods: Sixty-seven participants with CAI and 67 participants without CAI were enrolled in this study. Ankle proprioception, plantar tactile sensation, and lower limb strength were measured by a proprioception test device, a set of monofilaments, and a strength testing system, respectively. Static and dynamic postural stability were measured during standing and jump landing on a force plate and indicated by the root mean square of center of pressure and time to stability. Results: Compared to people without CAI, people with CAI had poorer postural stability, proprioception, tactile sensation, and strength. Both groups demonstrated correlation between proprioception and static postural stability, but only people without CAI showed correlation between proprioception and dynamic postural stability. Both groups demonstrated a correlation between tactile sensation and static postural stability, but not with dynamic stability. Both groups demonstrated a correlation between strength and both static and dynamic postural stability. Conclusions: People with CAI had deficits in static and dynamic postural stability, proprioception, tactile sensation, and strength. Among people with CAI, proprioception, tactile sensation, and strength can help maintain static postural stability; strength can help maintain dynamic postural stability, whereas proprioception may not provide sufficient information for dynamic postural stability.

Prior work has demonstrated the presence of hysteresis effects in the control of affordance-guided behavior, in that behavioral transitions around a critical action boundary vary with directions of change in said action boundary. To date, research on this topic has overlooked the influence of the global context on these phenomena. We employ an affordance-based reaching task, whereby participants were asked to move a target to a goal by passing through one of two apertures (size variable or size constant). It was found that the direction of change in the size of the variable aperture influenced the point of behavioral transitions, and this effect interacted with the location of a given goal. In addition, we considered fluctuations in the entropy of participants’ reach trajectories as a window into the nature of the behavioral phase transitions. Differences in the structure of entropy were found depending on the direction of change in the size variable aperture. These results are discussed in light of a dynamical systems approach, and recommendations for future work are made.